SOTAVerified

Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

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Showing 551–600 of 4856 papers

TitleStatusHype
A Survey on Time-Series Distance Measures—0
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network—0
STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection—0
Frames and vertex-frequency representations in graph fractional Fourier domain—0
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems—0
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection—0
Time Series Foundational Models: Their Role in Anomaly Detection and PredictionCode0
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection—0
Quo Vadis, Anomaly Detection? LLMs and VLMs in the SpotlightCode1
Cech Complex Generation with Homotopy Equivalence Framework for Myocardial Infarction Diagnosis using Electrocardiogram Signals—0
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly DetectionCode2
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly DetectionCode1
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural PerspectiveCode0
VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive ModelingCode1
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly DetectionCode1
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum ProcessorCode0
A Generalizable Anomaly Detection Method in Dynamic GraphsCode2
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction—0
Effective and Efficient Representation Learning for Flight TrajectoriesCode0
Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation—0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India—0
A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection—0
Tests for model misspecification in simulation-based inference: from local distortions to global model checksCode2
Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal PropertiesCode2
Robust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization—0
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware—0
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report GenerationCode0
Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities—0
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly DetectionCode1
Do Language Models Understand Time?Code1
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection—0
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection—0
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial LearningCode1
Synthetic Data Generation for Anomaly Detection on Table GrapesCode0
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP—0
Robust Spectral Anomaly Detection in EELS Spectral Images via Three Dimensional Convolutional Variational AutoencodersCode0
Are Large Language Models Useful for Time Series Data Analysis?—0
F-RBA: A Federated Learning-based Framework for Risk-based Authentication—0
Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluation—0
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and LocalizationCode1
Learning Set Functions with Implicit Differentiation—0
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
Know Unreported Roadway Incidents in Real-time: A Deep Learning Framework for Early Traffic Anomaly Detection—0
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description—0
FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing TasksCode0
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly DetectionCode1
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion ModelCode1
Federated Foundation Models on Heterogeneous Time SeriesCode1
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All datasetsMVTec ADVisAMVTec LOCO ADOne-class CIFAR-10CUHK AvenueShanghaiTechFishyscapes L&FUCR Anomaly ArchiveMPDDBTADOne-class CIFAR-100UBnormal

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016—Unverified
2CPR-fast(TensorRT)FPS362—Unverified
3CPR(TensorRT)FPS130—Unverified
4GLASSDetection AUROC99.9—Unverified
5UniNetDetection AUROC99.9—Unverified
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
7DDADDetection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9PBASDetection AUROC99.8—Unverified
10HETMMDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4DDADDetection AUROC98.9—Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
6INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9—Unverified
7DiffusionADDetection AUROC98.8—Unverified
8GLASSDetection AUROC98.8—Unverified
9TransFusionDetection AUROC98.7—Unverified
10HETMMDetection AUROC98.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3—Unverified
2PSADAvg. Detection AUROC94.9—Unverified